Convert a csv or a txt file to parquet format — csv_to

This function allows to convert a csv or a txt file to parquet format.

Two conversions possibilities are offered :

Convert to a single parquet file. Argument path_to_parquet must then be used;
Convert to a partitioned parquet file. Additionnal arguments partition and partitioning must then be used;

Usage

csv_to_parquet(
  path_to_file,
  url_to_csv = lifecycle::deprecated(),
  csv_as_a_zip = lifecycle::deprecated(),
  filename_in_zip,
  path_to_parquet,
  columns = "all",
  compression = "snappy",
  compression_level = NULL,
  partition = "no",
  encoding = "UTF-8",
  read_delim_args = list(),
  ...
)

Arguments

path_to_file: String that indicates the path to the input file (don't forget the extension).
url_to_csv: DEPRECATED use path_to_file instead
csv_as_a_zip: DEPRECATED
filename_in_zip: name of the csv/txt file in the zip. Required if several csv/txt are included in the zip.
path_to_parquet: String that indicates the path to the directory where the parquet files will be stored.
columns: Character vector of columns to select from the input file (by default, all columns are selected).
compression: compression algorithm. Default "snappy".
compression_level: compression level. Meaning depends on compression algorithm.
partition: String ("yes" or "no" - by default) that indicates whether you want to create a partitioned parquet file. If "yes", "partitioning" argument must be filled in. In this case, a folder will be created for each modality of the variable filled in "partitioning". Be careful, this argument can not be "yes" if max_memory or max_rows argument are not NULL.
encoding: String that indicates the character encoding for the input file.
read_delim_args: list of arguments for read_delim.
...: additional format-specific arguments, see arrow::write_parquet() and arrow::write_dataset() for more informations.

Value

A parquet file, invisibly

Note

Be careful, if the zip size exceeds 4 GB, the function may truncate the data (because unzip() won't work reliably in this case - see here). In this case, it's advised to unzip your csv/txt file by hand (for example with 7-Zip) then use the function with the argument path_to_file.

Examples


# Conversion from a local csv file to a single parquet file :

csv_to_parquet(
  path_to_file = parquetize_example("region_2022.csv"),
  path_to_parquet = tempfile(fileext=".parquet")
)
#> Reading data...
#> Writing data...
#> ✔ Data are available in parquet file under /tmp/Rtmp8qqupn/file178f4ccb562a.parquet
#> Writing data...

#> Reading data...


# Conversion from a local txt file to a single parquet file :

csv_to_parquet(
  path_to_file = parquetize_example("region_2022.txt"),
  path_to_parquet = tempfile(fileext=".parquet")
)
#> Reading data...
#> Writing data...
#> ✔ Data are available in parquet file under /tmp/Rtmp8qqupn/file178f1734af74.parquet
#> Writing data...

#> Reading data...


# Conversion from a local csv file to a single parquet file and select only
# few columns :

csv_to_parquet(
  path_to_file = parquetize_example("region_2022.csv"),
  path_to_parquet = tempfile(fileext = ".parquet"),
  columns = c("REG","LIBELLE")
)
#> Reading data...
#> Writing data...
#> ✔ Data are available in parquet file under /tmp/Rtmp8qqupn/file178f3af5d35d.parquet
#> Writing data...

#> Reading data...


# Conversion from a local csv file to a partitioned parquet file  :

csv_to_parquet(
  path_to_file = parquetize_example("region_2022.csv"),
  path_to_parquet = tempfile(fileext = ".parquet"),
  partition = "yes",
  partitioning =  c("REG")
)
#> Reading data...
#> Writing data...
#> ✔ Data are available in parquet dataset under /tmp/Rtmp8qqupn/file178f53cdb712.parquet
#> Writing data...

#> Reading data...


# Conversion from a URL and a zipped file (csv) :

csv_to_parquet(
  path_to_file = "https://www.nomisweb.co.uk/output/census/2021/census2021-ts007.zip",
  filename_in_zip = "census2021-ts007-ctry.csv",
  path_to_parquet = tempfile(fileext = ".parquet")
)
#> Reading data...
#> Writing data...
#> ✔ Data are available in parquet file under /tmp/Rtmp8qqupn/file178f597c377d.parquet
#> Writing data...

#> Reading data...


# Conversion from a URL and a zipped file (txt) :

csv_to_parquet(
  path_to_file = "https://sourceforge.net/projects/irisdss/files/latest/download",
  filename_in_zip = "IRIS TEST data.txt",
  path_to_parquet = tempfile(fileext=".parquet")
)
#> Reading data...
#> Multiple files in zip: reading 'IRIS Test data.txt'
#> Writing data...
#> ✔ Data are available in parquet file under /tmp/Rtmp8qqupn/file178f9464f61.parquet
#> Writing data...

#> Reading data...


if (FALSE) { # \dontrun{
# Conversion from a URL and a csv file with "gzip" compression :

csv_to_parquet(
  path_to_file =
  "https://github.com/sidsriv/Introduction-to-Data-Science-in-python/raw/master/census.csv",
  path_to_parquet = tempfile(fileext = ".parquet"),
  compression = "gzip",
  compression_level = 5
)
} # }